DC-DiT: Adaptive Compute and Elastic Inference for Visual Generation via Dynamic Chunking

概要

arXiv:2603.06351v2 Announce Type: replace-cross Abstract: Diffusion Transformers rely on static patchify tokenization, assigning the same token budget to smooth backgrounds, detailed object regions, noisy early timesteps, and late-stage refinements. We introduce the Dynamic Chunking Diffusion Trans…